简单效应SPSS编程
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被试、被试间、混合实验设计简单效应分析
简单效应(simple effect)分析
简单效应(simple effect)分析通常是在作方差分析时存在交互效应的情况下的进一步分析。你需要在SPSS中编写syntax实现。
一、完全随机因素实验中简单效应得分析程序
假如一个两因素随机实验中，A因素有两个水平、B因素有三个水平，因变量是Y，检验B因素在A因素的两个水平上的简单效应分析。
TWO-FACTOR RANDOMIZED EXPERIMENT
SIMPLE EFFECTS.
DATA LIST FREE /A B Y.
BEGIN DATA
1 3 4
1 1 2
1 1 3
2 2 5
2 1 6
1 2 8
2 1 9
1 2 8
2 3 10
2 3 11
2 3 9
2 3 8
END DATA.
MANOVA y BY A(1,2) B(1,3) /DESIGN
/DESIGN=A WITHIN B(1)
A WITHIN B(2)
A WITHIN B(3).
若A与B存在交互作用而进行的进一步分析（即简单效应分析）。同时你可以再加一个design: /DESIGN=B WITHIN A(1)
B WITHIN A(2).
自编数据试试
y A B
4.00 1.00 3.00
2.00 1.00 1.00
3.00 1.00 1.00
5.00 2.00 2.00
6.00 2.00 1.00
8.00 1.00 2.00
9.00 2.00 1.00
8.00 1.00 2.00
10.00 2.00 3.00
11.00 2.00 3.00
9.00 2.00 3.00
8.00 1.00 2.00
当然，你可也直接贴下述语句至syntax编辑框：
应会输出下述结果：
The default error term in MANOVA has been changed from WITHIN CELLS to WITHIN+RESIDUAL. Note that these are the same for all full factorial designs.
* * * * * * A n a l y s i s o f V a r i a n c e * * * * * *
12 cases accepted.
0 cases rejected because of out-of-range factor values.
0 cases rejected because of missing data.
6 non-empty cells.
3 designs will be processed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
* * * * * * A n a l y s i s o f V a r i a n c e -- design 1 * * * * * *
Tests of Significance for Y using UNIQUE sums of squares Source of Variation SS DF MS F Sig of F
WITHIN CELLS 10.00 6 1.67
X1 15.00 1 15.00 9.00 .
X2 6.46 2 3.23 1.94 .224
X1 BY X2 33.00 2 16.50 9.90 .013
(Model) 80.92 5 16.18 9.71 .008
(Total) 90.92 11 8.27
R-Squared = .890
Adjusted R-Squared = .798
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
* * * * * * A n a l y s i s o f V a r i a n c e -- design 2 * * * * * *
Tests of Significance for Y using UNIQUE sums of squares Source of Variation SS DF MS F Sig of F
WITHIN+RESIDUAL 16.46 8 2.06
X1 WITHIN X2(1) 25.00 1 25.00 12.15 .008
X1 WITHIN X2(2) 8.15 1 8.15 3.96 .082
X1 WITHIN X2(3) 43.74 1 43.74 21.26 .002
(Model) 74.46 3 24.82 12.06 .002
(Total) 90.92 11 8.27
R-Squared = .819
Adjusted R-Squared = .751
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* * * * * * A n a l y s i s o f V a r i a n c e -- design 3 * * * * * * Tests of Significance for Y using UNIQUE sums of squares Source of Variation SS DF MS F Sig of F
WITHIN+RESIDUAL 25.00 7 3.57
X2 WITHIN X1(1) 30.30 2 15.15 4.24 .062
X2 WITHIN X1(2) 35.58 2 17.79 4.98 . (Model) 65.92 4 16.48 4.61 .039
(Total) 90.92 11 8.27